This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
As the size of available datasets in various domains is growing rapidly, there is an increasing need for scaling data mining implementations. Coupled with the current trends in co...
SGI recently introduced the Altix 3700. In contrast to previous SGI systems, the Altix uses a modified version of the open source Linux operating system and the latest Intel IA-64...
Thomas H. Dunigan, Jeffrey S. Vetter, Patrick H. W...
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
— Traditionally, network buffer resources have been used at routers to queue transient packets to prevent packet drops. In contrast, we propose a scheme for large multi-hop netwo...